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Sun P, Wang Y, Liu X, Li Z, Cui D, Li Q, Wang Q, Wang J. Methylation-driven mechanisms of allergic rhinitis during pollen and non-pollen seasons using integrated bioinformatics analysis. Front Genet 2024; 15:1242974. [PMID: 38699230 PMCID: PMC11063319 DOI: 10.3389/fgene.2024.1242974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 03/25/2024] [Indexed: 05/05/2024] Open
Abstract
Background Allergic rhinitis (AR) is a widespread allergic airway disease that results from a complex interplay between genetic and environmental factors and affects approximately 10%-40% of the global population. Pollen is a common allergen, and exposure to pollen can cause epigenetic changes. However, the mechanism underlying pollen-induced DNA methylation changes and their potential effects on the allergic march are still unclear. The purpose of this study was to explore the methylation-driven mechanisms of AR during the pollen and non-pollen seasons using bioinformatics analysis and to investigate their relationship with asthma. Methods We downloaded DNA methylation and gene expression data from the GEO database (GSE50387: GSE50222, GSE50101) and identified differentially methylated positions (DMPs) and differentially expressed genes (DEGs) during the pollen and non-pollen seasons using the CHAMP and limma packages. Through correlation analysis, we identified methylation-driven genes and performed pathway enrichment analysis to annotate their functions. We incorporated external data on AR combined with asthma (GSE101720) for analysis to identify key CpGs that promote the transformation of AR to asthma. We also utilized external data on olive pollen allergy (GSE54522) for analysis to validate the methylation-driven genes. Weighted correlation network analysis (WGCNA) was employed to identify gene modules significantly correlated with pollen allergy. We extracted genes related to the key methylation-driven gene ZNF667-AS1 from the significant module and performed pathway intelligent clustering using KOBAS-i. We also utilized gene set enrichment analysis to explore the potential function of ZNF667-AS1. Results We identified 20 and 24 CpG-Gene pairings during the pollen and non-pollen seasons. After incorporating external data from GSE101720, we found that ZNF667-AS1 is a key gene that may facilitate the transformation of AR into asthma during the pollen season. This finding was further validated in another external dataset, GSE54522, which is associated with pollen allergy. WGCNA identified 17 modules, among which the blue module showed significant correlation with allergies. ZNF667-AS1 was located in the blue module. We performed pathway analysis on the genes correlated with ZNF667-AS1 extracted from the blue module and identified a prominent cluster of pathways in the KOBAS-i results, including Toll-like receptor (TLR) family, MyD88, MAPK, and oxidative stress. Gene set enrichment analysis around cg05508084 (paired with ZNF667-AS1) also indicated its potential involvement in initiating and modulating allergic inflammation from the perspective of TLR and MAPK signaling. Conclusion We identified methylation-driven genes and their related pathways during the pollen and non-pollen seasons in patients with AR and identified key CpGs that promote the transformation of AR into asthma due to pollen exposure. This study provides new insights into the underlying molecular mechanisms of the transformation of AR to asthma.
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Affiliation(s)
- Pengcheng Sun
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yi Wang
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xing Liu
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Zhuqing Li
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Diankun Cui
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Qianru Li
- Qinghai Golmud Jianqiao Hospital, Golmud, Qinghai, China
| | - Qi Wang
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ji Wang
- National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
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Li B, Ge N, Pan Z, Hou C, Xie K, Wang D, Liu J, Wan J, Deng F, Li M, Luo S. KCNJ14 knockdown significantly inhibited the proliferation and migration of colorectal cells. BMC Med Genomics 2022; 15:194. [PMID: 36100894 PMCID: PMC9472386 DOI: 10.1186/s12920-022-01351-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 07/25/2022] [Indexed: 12/24/2022] Open
Abstract
Abstract
Background
This study attempted to verify the potential of KCNJ14 as a biomarker in colorectal cancer (CRC).
Methods
Data on transcriptomics and DNA methylation and the clinical information of CRC patients were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. Biological information analysis methods were conducted to determine the role of KCNJ14 in the prognosis, diagnosis, immune cell infiltration, and regulation mechanism of CRC patients. The effect of KCNJ14 on the proliferation and migration of HCT116 and SW480 CRC cell lines was verified by in vitro experiments (MTT, colony-forming, wound healing, and transwell assays). Western blotting was performed to detect the effect of KCNJ14 on the levels of mTOR signalling pathway-related proteins.
Results
KCNJ14 expression was remarkably increased in CRC tissues and cell lines, which reduced the overall survival time of patients. KCNJ14 mRNA was negatively regulated by its methylation site cg17660703, which can also endanger the prognosis of patients with CRC. Functional enrichment analysis suggested that KCNJ14 is involved in the mTOR, NOD-like receptor, and VEGF signalling pathways. KCNJ14 expression was positively correlated with the number of CD4 + T cells and negatively correlated with that of CD8 + T cells in the immune microenvironment. KCNJ14 knockdown significantly reduced not only the proliferation and migration of CRC cell lines but also the levels of mTOR signalling pathway-related proteins.
Conclusions
This study not only increases the molecular understanding of KCNJ14 but also provides a potentially valuable biological target for the treatment of colorectal cancer.
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Pedersen CA, Cao MD, Fleischer T, Rye MB, Knappskog S, Eikesdal HP, Lønning PE, Tost J, Kristensen VN, Tessem MB, Giskeødegård GF, Bathen TF. DNA methylation changes in response to neoadjuvant chemotherapy are associated with breast cancer survival. Breast Cancer Res 2022; 24:43. [PMID: 35751095 PMCID: PMC9233373 DOI: 10.1186/s13058-022-01537-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 06/03/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Locally advanced breast cancer is a heterogeneous disease with respect to response to neoadjuvant chemotherapy (NACT) and survival. It is currently not possible to accurately predict who will benefit from the specific types of NACT. DNA methylation is an epigenetic mechanism known to play an important role in regulating gene expression and may serve as a biomarker for treatment response and survival. We investigated the potential role of DNA methylation as a prognostic marker for long-term survival (> 5 years) after NACT in breast cancer. METHODS DNA methylation profiles of pre-treatment (n = 55) and post-treatment (n = 75) biopsies from 83 women with locally advanced breast cancer were investigated using the Illumina HumanMethylation450 BeadChip. The patients received neoadjuvant treatment with epirubicin and/or paclitaxel. Linear mixed models were used to associate DNA methylation to treatment response and survival based on clinical response to NACT (partial response or stable disease) and 5-year survival, respectively. LASSO regression was performed to identify a risk score based on the statistically significant methylation sites and Kaplan-Meier curve analysis was used to estimate survival probabilities using ten years of survival follow-up data. The risk score developed in our discovery cohort was validated in an independent validation cohort consisting of paired pre-treatment and post-treatment biopsies from 85 women with locally advanced breast cancer. Patients included in the validation cohort were treated with either doxorubicin or 5-FU and mitomycin NACT. RESULTS DNA methylation patterns changed from before to after NACT in 5-year survivors, while no significant changes were observed in non-survivors or related to treatment response. DNA methylation changes included an overall loss of methylation at CpG islands and gain of methylation in non-CpG islands, and these changes affected genes linked to transcription factor activity, cell adhesion and immune functions. A risk score was developed based on four methylation sites which successfully predicted long-term survival in our cohort (p = 0.0034) and in an independent validation cohort (p = 0.049). CONCLUSION Our results demonstrate that DNA methylation patterns in breast tumors change in response to NACT. These changes in DNA methylation show potential as prognostic biomarkers for breast cancer survival.
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Affiliation(s)
- Christine Aaserød Pedersen
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
| | - Maria Dung Cao
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway. .,Department of Nursing, Health and Laboratory Science, Østfold University College, Halden, Norway.
| | - Thomas Fleischer
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Morten B Rye
- Clinic of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,BioCore - Bioinformatics Core Facility, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Stian Knappskog
- K.G. Jebsen Centre for Genome-Directed Cancer Therapy, Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Hans Petter Eikesdal
- K.G. Jebsen Centre for Genome-Directed Cancer Therapy, Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Per Eystein Lønning
- K.G. Jebsen Centre for Genome-Directed Cancer Therapy, Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris Saclay, 91000, Evry, France
| | - Vessela N Kristensen
- Department of Medical Genetics, Institute of Clinical Medicine, Oslo University Hospital, Oslo, Norway
| | - May-Britt Tessem
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Guro F Giskeødegård
- Clinic of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health, and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Fu J, Qin W, Tong Q, Li Z, Shao Y, Liu Z, Liu C, Wang Z, Xu X. A novel DNA methylation-driver gene signature for long-term survival prediction of hepatitis-positive hepatocellular carcinoma patients. Cancer Med 2022; 11:4721-4735. [PMID: 35637633 PMCID: PMC9741990 DOI: 10.1002/cam4.4838] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/05/2022] [Accepted: 05/07/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Abnormal DNA methylation is one of the most general epigenetic modifications in hepatocellular carcinoma (HCC). Recent research showed that DNA methylation was a prognostic indicator of all-cause HCC and nonviral HCC. However, whether DNA methylation-driver genes could be used for predicting survival, the probability of hepatitis-positive HCC remains unclear. METHODS In this study, DNA methylation-driver genes (MDGs) were screened by a joint analysis of methylome and transcriptome data of 142 hepatitis-positive HCC patients. Subsequently, a prognostic risk score and nomogram were constructed. Finally, correlation analyses between the risk score and signaling pathways and immunity were conducted by GSVA and CIBERSORT. RESULTS Through random forest screening and Cox progression analysis, 10 prognostic methylation-driver genes (AC008271.1, C11orf53, CASP8, F2RL2, GBP5, LUCAT1, RP11-114B7.6, RP11-149I23.3, RP11-383 J24.1, and SLC35G2) were screened out. As a result, a prognostic risk score signature was constructed. The independent value of the risk score for prognosis prediction were addressed in the TCGA-HCC and the China-HCC cohorts. Next, clinicopathological features were analyzed and HBV status and histological grade were screened to construct a nomogram together with the risk score. The prognostic efficiency of the nomogram was validated by the calibration curves and the concordance index (C index: 0.829, 95% confidence interval: 0.794-0.864), while its clinical application ability was confirmed by decision curve analysis (DCA). At last, the relationship between the risk score and signaling pathways, as well as the correlations between immune cells were elucidated preliminary. CONCLUSIONS Taken together, our study explored a novel DNA methylation-driver gene risk score signature and an efficient nomogram for long-term survival prediction of hepatitis-positive HCC patients.
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Affiliation(s)
- Jie Fu
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Wei Qin
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Qing Tong
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Zhenghao Li
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Yaoli Shao
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Zhiqiang Liu
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Chun Liu
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Zicheng Wang
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Xundi Xu
- Department of General SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaChina,Department of General SurgerySouth China Hospital of Shenzhen UniversityShenzhenChina
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Du XW, Li G, Liu J, Zhang CY, Liu Q, Wang H, Chen TS. Comprehensive analysis of the cancer driver genes in breast cancer demonstrates their roles in cancer prognosis and tumor microenvironment. World J Surg Oncol 2021; 19:273. [PMID: 34507558 PMCID: PMC8434726 DOI: 10.1186/s12957-021-02387-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 08/31/2021] [Indexed: 12/28/2022] Open
Abstract
Background Breast cancer is the most common malignancy in women. Cancer driver gene-mediated alterations in the tumor microenvironment are critical factors affecting the biological behavior of breast cancer. The purpose of this study was to identify the expression characteristics and prognostic value of cancer driver genes in breast cancer. Methods The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets are used as the training and test sets. Classified according to cancer and paracancerous tissues, we identified differentially expressed cancer driver genes. We further screened prognosis-associated genes, and candidate genes were submitted for the construction of a risk signature. Functional enrichment analysis and transcriptional regulatory networks were performed to search for possible mechanisms by which cancer driver genes affect breast cancer prognosis. Results We identified more than 200 differentially expressed driver genes and 27 prognosis-related genes. High-risk group patients had a lower survival rate compared to the low-risk group (P<0.05), and risk signature showed high specificity and sensitivity in predicting the patient prognosis (AUC 0.790). Multivariate regression analysis suggested that risk scores can independently predict patient prognosis. Further, we found differences in PD-1 expression, immune score, and stromal score among different risk groups. Conclusion Our study confirms the critical prognosis role of cancer driver genes in breast cancer. The cancer driver gene risk signature may provide a novel biomarker for clinical treatment strategy and survival prediction of breast cancer.
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Affiliation(s)
| | - Gao Li
- Department of Oncology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, 200000, China
| | - Juan Liu
- Department of Pharmacy, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chun-Yan Zhang
- Department of Central Laboratory, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qiong Liu
- Office of Academic Research, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hao Wang
- Department of Oncology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, 200000, China.
| | - Ting-Song Chen
- Department of Oncology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, 200000, China.
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Ren Z, Liu Z, Ma S, Yue J, Yang J, Wang R, Gao Y, Guo Y. Expression and clinical significance of UBE2V1 in cervical cancer. Biochem Biophys Rep 2021; 28:101108. [PMID: 34466666 PMCID: PMC8385167 DOI: 10.1016/j.bbrep.2021.101108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/29/2021] [Accepted: 08/16/2021] [Indexed: 11/28/2022] Open
Abstract
The majority of cervical cancer (CC) patients are caused by the high-risk human papillomavirus (HPV) infection Although they are preventable and controllable, the mortality rate is still high. It is essential to identify the biomarkers for early screening and diagnosis of CC to improve the prognosis of patients with CC. The conjugating enzyme 2 (E2) family members are the key components of ubiquitin protease system. However, the role of E2 family in CC remains unclear. We aimed to investigate the role of UBE2V1, a ubiquitin binding E2 enzyme variant protein (ube2v) without conserved cysteine residues required for E2s catalytic activity in CC. In this study, we first studied the expression of UBE2V1 in CC by real time quantitative PCR (RT-qPCR), and then, the clinical information of 191 CC patients in TCGA database was retrieved to explore the relationship between the expression of UBE2V1 and the occurrence and development of CC by examining the translational profile and methylation, the high expression of UBE2V1 was well correlated to the poor prognosis of patients, indicating that UBE2V1 is an independent risk factor for the prognosis of CC patients. The expression of UBE2V1 was also correlated with clinical stages, tumor grades and TNM stages of CC. In addition, the expression of UBE2V1 was slightly negatively correlated with the methylation at the multiple methylation sites. our study revealed the relationship between UBE2V1 and the occurrence and development of CC from the level of transcriptional profile and DNA methylation. UBE2V1 is a novel candidate biomarker for the diagnosis, screening and prognosis of CC. The expression of UBE2V1 was abnormal in cervical cancer. UBE2V1 is associated with poor prognosis in patients with cervical cancer. UBE2V1 can be used as a new tumor marker for cervical cancer.
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Affiliation(s)
- Zhishuai Ren
- People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Zhendong Liu
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, 450003, Henan, China
| | - Shenqian Ma
- People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Junming Yue
- Department of Pathology, The University of Tennessee Health Science Center, 19 S. Manassas St., Rm. 266, Memphis, TN, 38163, USA
| | - Jinming Yang
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, 37240, USA
| | - Ruiya Wang
- People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Yanzheng Gao
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, 450003, Henan, China
| | - Yuqi Guo
- Department of Obstetrics and Gynecology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, 450003, Henan, China.,Henan International Joint Laboratory for Gynecological Oncology and Nanomedicine, Zhengzhou, 450003, Henan, China
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